Kateryna Krykunova

Title: Kateryna Krykunova and Statistical Analysis of Measurement Data.

Introduction

Kateryna Krykunova is an inventor associated with Hildesheim, Germany, and Robert Bosch. Her patent work addresses how statistical properties of measurement data can be estimated when the details of the filtering process are not known.

Latest Patents

Krykunova is associated with 1 patent: “Method and device for determining statistical properties of raw measured values.” The invention estimates properties such as measurement noise and average errors from a useful signal consisting of a sequence of filter output values. It determines the filter’s characteristics under stable measurement conditions, inverts those characteristics, and uses the resulting information to reconstruct raw measurements or estimate their statistical properties. This approach can help assess measurement conditions without requiring prior knowledge of the filter applied to the raw data.

Career Highlights

Krykunova’s listed patent reflects work on signal processing and measurement analysis. By deriving statistical information from filtered outputs, the method aims to make useful assessments possible under commonly encountered measurement conditions.

Collaborations

The provided information lists Andreas Vogel as Krykunova’s coworker and Robert Bosch as her company affiliation. It does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Kateryna Krykunova’s patent focuses on estimating the statistical properties of raw measurements from filtered signals, connecting her listed work at Robert Bosch with practical challenges in measurement analysis.